Fig. 3From: UnCorrupt SMILES: a novel approach to de novo designErrors in the outputs of SMILES corrector models trained with multiple errors per input sequence. SMILES corrector models were trained with a different number of errors per input sequence and evaluated on invalid SMILES from the four case studies. Results are given as the percentage of a specific error in the SMILES corrector outputsBack to article page